![]() Preliminary Reading (in OceanTeacher, unless otherwise indicated): These two issues, high density and coastline proximity are very common problems with biological datasets, and are very often faced by students and researchers working with survey data for specific local areas. If a very high-resolution coastline is available, as is the case here, then you can use this method for the masking if not, then make one or use the depth-masking, as in Masking Methods for Depth- or Height-Limited Grids in Saga. Usual methods to mask land cells in oceanic datasets require relief (bathymetry/topography) grids that are too coarse to work well with small-scale coastal surveys. The second issue deals with the way to mask the spurious data cells that almost invariably appear on land. The first issue raises the problems of defining the grid template to use for the gridding, involving cell sizes that are usually much smaller than than the easy-to-visualize 1- or 2-degree grids we often work with in "blue water data". I will try to provide fixes within about 2 days.Įxercise Title: Visualizing High-Density/Small-Area Coastal Survey Data in SagaĪbstract: In this exercise you'll face and solve two very typical data management problems in marine science: very dense data sampling in a small area, and the insertion of a coastline into an otherwise marine data grid. Please email me immediately whenever you find an old exercise that simply cannot be accomplished in the new Saga, due to big changes in the properties, etc. The latest release, Version 2.1.2, is so radically different that it will take some time to catch up with revised exercises. New Version of Saga: Usually a new version of Saga is quickly assimilated into these exercises. Marine GIS > 2.24 Coastal SurveyĢ.24 Visualizing High-Density/Small-Area Coastal Survey Data in Saga P roviding instruction for managing, converting, analyzing and displaying oceanographic station data, marine meteorological data, GIS-compatible marine and coastal data or model simulations, and mapped remote sensing imagery You can find further information about misbehavior here.Proudly published in the United States of America for environmental scientists around the world. ![]()
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